

Usman
- Rate ₹3,241
- Response 1h

₹3,241/hr
1st class free
- Maths
- Statistics
- Algorithms
- Computing
Lead Data Scientist with 7+ Years Experience Teaches Computer Science, Algorithms, Statistics, and Maths in London and Online
- Maths
- Statistics
- Algorithms
- Computing
Class location
About Usman
I am a Lead Data Scientist with over 7 years of high-level industry experience, holding an MSc in Data Science & Analytics from Brunel University London and a BSc in Software Engineering with a specialisation in Artificial Intelligence. As the Head of Data Science Professional Services at a leading London analytics consultancy, my daily work involves architecting complex AI solutions, designing predictive models, and translating sophisticated mathematical and algorithmic concepts for Fortune 50 enterprises and tier-1 banks.
Why Learn With Me?
Proven Industry Expertise: I don't just teach theory from a textbook; I apply advanced statistics, linear algebra, Python programming, and data structures daily to solve high-stakes problems for global clients
Clear & Adaptable Communication: My career is built on making complex technical ideas easy to digest. Having spent years presenting machine learning frameworks to non-technical executives and mentoring junior data science teams, I excel at breaking down intimidating concepts into clear, intuitive steps.
Academic & Professional Success: Having navigated rigorous software engineering and data science degree programmes, published research, and completed executive training at MIT Sloan, I bring a disciplined, structured, and goal-oriented approach to every lesson.
My Commitment to You:
Whether you are a GCSE or A-Level student working towards top exam grades, a university student tackling advanced modules in statistics or computer science, or a professional building practical coding and data skills, my aim is to replace confusion with confidence. I provide a structured, supportive, and engaging learning environment where no question is too small, complex ideas become simple, and measurable progress is made in every single session.
About the class
- Classes 1 to 5
- Classes 6 to 8
- Class 10
- +10
levels :
Classes 1 to 5
Classes 6 to 8
Class 10
Classes 11 & 12
Class 12
BTech
Adult Literacy
Undergraduate
Masters
PG Diploma
PhD
MBA
Kindergarten (LKG, UKG)
- English
All languages in which the class is available :
English
Teaching Approach & Methodology
My tutoring philosophy focuses on bridging the gap between theoretical knowledge and practical application. Having spent over 7 years delivering complex data science and AI transformation projects for Fortune 50 enterprises, I help students understand why concepts matter rather than just memorising formulae.
- Concept Decomposition: I break down dense theoretical subjects—such as machine learning algorithms, complex statistical distributions, or advanced calculus—into manageable, intuitive core concepts.
- Active Problem-Solving: Lessons are highly interactive. Rather than passive lecturing, we move quickly from step-by-step demonstrations to student-led problem-solving, identifying knowledge gaps in real time.
- Industry & Real-World Context: I leverage real-world examples from software development, predictive analytics, and enterprise data pipelines to make abstract computer science and statistics topics tangible.
- Exam & Assessment Strategy: For GCSE, A-Level, and University modules, we focus heavily on marking criteria, past paper techniques, algorithmic efficiency analysis (Big O), and clean code practice.
Typical Lesson Structure & Length Duration:
Standard lessons run for 60 minutes, which provides an ideal balance for structured learning and focused practice. Extended 90-minute or 2-hour sessions are available for intensive preparation, complex coding projects, or university-level assignment walkthroughs.
Warm-up (5–10 mins): Quick review of previous material or a diagnostic problem to test retention.
Core Topic Breakdown (20–25 mins): Interactive explanation of new concepts using visual aids, digital whiteboards, or live coding environments.
Guided Practice (20–25 mins): Hands-on problem-solving or coding exercises with real-time feedback and guidance.
Wrap-up & Action Plan (5 mins): Summary of key takeaways and setting structured practice tasks for the next session.
Rates
Rate
- ₹3,241
Pack prices
- 5h: ₹15
- 10h: ₹30
free classes
This first free class with Usman will allow you to get to know each other and to specify the exact learning requirements for the upcoming classes.
- 1hr
online
- ₹3,241/hr
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